YData Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	13
Number of observations	678012
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	64.7 MiB
Average record size in memory	100.0 B

Variable types

Numeric	8
Categorical	5

Alerts

`Area` is highly overall correlated with `Density`	High correlation
`BonusMalus` is highly overall correlated with `DrivAge`	High correlation
`Density` is highly overall correlated with `Area`	High correlation
`DrivAge` is highly overall correlated with `BonusMalus`	High correlation
`IDpol` has unique values	Unique
`VehAge` has 57739 (8.5%) zeros	Zeros
`ClaimCount` has 643952 (95.0%) zeros	Zeros

Reproduction

Analysis started	2025-08-27 08:10:45.608374
Analysis finished	2025-08-27 08:11:03.106006
Duration	17.5 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

IDpol
Real number (ℝ)

Unique

Distinct	678012
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2621860.6

Minimum	1
Maximum	6114330
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	1
5-th percentile	69365.55
Q1	1157951.8
median	2272152.5
Q3	4046274.2
95-th percentile	6014195.3
Maximum	6114330
Range	6114329
Interquartile range (IQR)	2888322.5

Descriptive statistics

Standard deviation	1641781.1
Coefficient of variation (CV)	0.62618931
Kurtosis	-0.65834502
Mean	2621860.6
Median Absolute Deviation (MAD)	1152062
Skewness	0.23788976
Sum	1.777653 × 10¹²
Variance	2.6954452 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
72150	1	< 0.1%
2124053	1	< 0.1%
1049168	1	< 0.1%
134313	1	< 0.1%
1145209	1	< 0.1%
2281532	1	< 0.1%
4122208	1	< 0.1%
4128877	1	< 0.1%
2102858	1	< 0.1%
1106637	1	< 0.1%
Other values (678002)	678002	> 99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%
15	1	< 0.1%
17	1	< 0.1%
18	1	< 0.1%
21	1	< 0.1%

Value	Count	Frequency (%)
6114330	1	< 0.1%
6114329	1	< 0.1%
6114328	1	< 0.1%
6114327	1	< 0.1%
6114326	1	< 0.1%
6114325	1	< 0.1%
6114324	1	< 0.1%
6114323	1	< 0.1%
6114322	1	< 0.1%
6114321	1	< 0.1%

VehPower
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4546306

Minimum	4
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	4
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	11
Maximum	15
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.0509071
Coefficient of variation (CV)	0.31774198
Kurtosis	1.6682028
Mean	6.4546306
Median Absolute Deviation (MAD)	1
Skewness	1.1713449
Sum	4376317
Variance	4.2062199
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	148976	22.0%
7	145400	21.4%
5	124821	18.4%
4	115349	17.0%
8	46956	6.9%
10	31354	4.6%
9	30085	4.4%
11	18352	2.7%
12	8214	1.2%
13	3229	0.5%
Other values (2)	5276	0.8%

Value	Count	Frequency (%)
4	115349	17.0%
5	124821	18.4%
6	148976	22.0%
7	145400	21.4%
8	46956	6.9%
9	30085	4.4%
10	31354	4.6%
11	18352	2.7%
12	8214	1.2%
13	3229	0.5%

Value	Count	Frequency (%)
15	2926	0.4%
14	2350	0.3%
13	3229	0.5%
12	8214	1.2%
11	18352	2.7%
10	31354	4.6%
9	30085	4.4%
8	46956	6.9%
7	145400	21.4%
6	148976	22.0%

VehAge
Real number (ℝ)

Zeros

Distinct	78
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0442603

Minimum	0
Maximum	100
Zeros	57739
Zeros (%)	8.5%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	6
Q3	11
95-th percentile	17
Maximum	100
Range	100
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.6662346
Coefficient of variation (CV)	0.8043761
Kurtosis	6.522051
Mean	7.0442603
Median Absolute Deviation (MAD)	4
Skewness	1.1479909
Sum	4776093
Variance	32.106215
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	71284	10.5%
2	59124	8.7%
0	57739	8.5%
3	50261	7.4%
4	43492	6.4%
5	38737	5.7%
10	38394	5.7%
6	35717	5.3%
7	32880	4.8%
8	32680	4.8%
Other values (68)	217704	32.1%

Value	Count	Frequency (%)
0	57739	8.5%
1	71284	10.5%
2	59124	8.7%
3	50261	7.4%
4	43492	6.4%
5	38737	5.7%
6	35717	5.3%
7	32880	4.8%
8	32680	4.8%
9	31922	4.7%

Value	Count	Frequency (%)
100	25	< 0.1%
99	23	< 0.1%
85	1	< 0.1%
84	1	< 0.1%
83	2	< 0.1%
82	1	< 0.1%
81	3	< 0.1%
80	3	< 0.1%
79	1	< 0.1%
78	1	< 0.1%

DrivAge
Real number (ℝ)

High correlation

Distinct	83
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.499153

Minimum	18
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	18
5-th percentile	25
Q1	34
median	44
Q3	55
95-th percentile	72
Maximum	100
Range	82
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	14.13743
Coefficient of variation (CV)	0.31071854
Kurtosis	-0.34268603
Mean	45.499153
Median Absolute Deviation (MAD)	10
Skewness	0.43575894
Sum	30848972
Variance	199.86694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	17530	2.6%
38	17346	2.6%
39	17320	2.6%
37	17295	2.6%
52	17195	2.5%
34	17059	2.5%
40	17017	2.5%
51	17016	2.5%
41	16977	2.5%
42	16953	2.5%
Other values (73)	506304	74.7%

Value	Count	Frequency (%)
18	748	0.1%
19	2392	0.4%
20	3676	0.5%
21	4437	0.7%
22	5291	0.8%
23	6261	0.9%
24	7392	1.1%
25	8697	1.3%
26	10301	1.5%
27	11827	1.7%

Value	Count	Frequency (%)
100	3	< 0.1%
99	70	< 0.1%
98	5	< 0.1%
97	10	< 0.1%
96	15	< 0.1%
95	24	< 0.1%
94	32	< 0.1%
93	55	< 0.1%
92	66	< 0.1%
91	121	< 0.1%

BonusMalus
Real number (ℝ)

High correlation

Distinct	115
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.761464

Minimum	50
Maximum	230
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	50
5-th percentile	50
Q1	50
median	50
Q3	64
95-th percentile	95
Maximum	230
Range	180
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	15.636639
Coefficient of variation (CV)	0.26165087
Kurtosis	2.6748529
Mean	59.761464
Median Absolute Deviation (MAD)	0
Skewness	1.7289437
Sum	40518990
Variance	244.50448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	384156	56.7%
100	19530	2.9%
68	18791	2.8%
72	18580	2.7%
76	18226	2.7%
64	18192	2.7%
80	18086	2.7%
57	17938	2.6%
60	17363	2.6%
54	17360	2.6%
Other values (105)	129790	19.1%

Value	Count	Frequency (%)
50	384156	56.7%
51	15869	2.3%
52	4770	0.7%
53	3351	0.5%
54	17360	2.6%
55	5593	0.8%
56	3453	0.5%
57	17938	2.6%
58	5970	0.9%
59	2779	0.4%

Value	Count	Frequency (%)
230	1	< 0.1%
228	1	< 0.1%
218	1	< 0.1%
208	1	< 0.1%
198	2	< 0.1%
196	3	< 0.1%
195	6	< 0.1%
190	3	< 0.1%
187	3	< 0.1%
185	5	< 0.1%

VehBrand
Categorical

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

B12	166024
B1	162736
B2	159861
B3	53394
B5	34753
Other values (6)	101244

Length

Max length	3
Median length	2
Mean length	2.3149517
Min length	2

Characters and Unicode

Total characters	1569565
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B2
2nd row	B12
3rd row	B1
4th row	B12
5th row	B1

Common Values

Value	Count	Frequency (%)
B12	166024	24.5%
B1	162736	24.0%
B2	159861	23.6%
B3	53394	7.9%
B5	34753	5.1%
B6	28548	4.2%
B4	25179	3.7%
B10	17707	2.6%
B11	13585	2.0%
B13	12178	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b12	166024	24.5%
b1	162736	24.0%
b2	159861	23.6%
b3	53394	7.9%
b5	34753	5.1%
b6	28548	4.2%
b4	25179	3.7%
b10	17707	2.6%
b11	13585	2.0%
b13	12178	1.8%

Most occurring characters

Value	Count	Frequency (%)
B	678012	43.2%
1	389862	24.8%
2	325885	20.8%
3	65572	4.2%
5	34753	2.2%
4	29226	1.9%
6	28548	1.8%
0	17707	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1569565	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	678012	43.2%
1	389862	24.8%
2	325885	20.8%
3	65572	4.2%
5	34753	2.2%
4	29226	1.9%
6	28548	1.8%
0	17707	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1569565	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	678012	43.2%
1	389862	24.8%
2	325885	20.8%
3	65572	4.2%
5	34753	2.2%
4	29226	1.9%
6	28548	1.8%
0	17707	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1569565	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	678012	43.2%
1	389862	24.8%
2	325885	20.8%
3	65572	4.2%
5	34753	2.2%
4	29226	1.9%
6	28548	1.8%
0	17707	1.1%

VehGas
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

Regular	345876
Diesel	332136

Length

Max length	7
Median length	7
Mean length	6.5101326
Min length	6

Characters and Unicode

Total characters	4413948
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Diesel
2nd row	Regular
3rd row	Regular
4th row	Regular
5th row	Diesel

Common Values

Value	Count	Frequency (%)
Regular	345876	51.0%
Diesel	332136	49.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
regular	345876	51.0%
diesel	332136	49.0%

Most occurring characters

Value	Count	Frequency (%)
e	1010148	22.9%
l	678012	15.4%
R	345876	7.8%
g	345876	7.8%
u	345876	7.8%
a	345876	7.8%
r	345876	7.8%
D	332136	7.5%
i	332136	7.5%
s	332136	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4413948	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1010148	22.9%
l	678012	15.4%
R	345876	7.8%
g	345876	7.8%
u	345876	7.8%
a	345876	7.8%
r	345876	7.8%
D	332136	7.5%
i	332136	7.5%
s	332136	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4413948	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1010148	22.9%
l	678012	15.4%
R	345876	7.8%
g	345876	7.8%
u	345876	7.8%
a	345876	7.8%
r	345876	7.8%
D	332136	7.5%
i	332136	7.5%
s	332136	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4413948	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1010148	22.9%
l	678012	15.4%
R	345876	7.8%
g	345876	7.8%
u	345876	7.8%
a	345876	7.8%
r	345876	7.8%
D	332136	7.5%
i	332136	7.5%
s	332136	7.5%

Area
Categorical

High correlation

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

C	191880
D	151595
E	137167
A	103957
B	75459

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	678012
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C
2nd row	D
3rd row	E
4th row	C
5th row	E

Common Values

Value	Count	Frequency (%)
C	191880	28.3%
D	151595	22.4%
E	137167	20.2%
A	103957	15.3%
B	75459	11.1%
F	17954	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
c	191880	28.3%
d	151595	22.4%
e	137167	20.2%
a	103957	15.3%
b	75459	11.1%
f	17954	2.6%

Most occurring characters

Value	Count	Frequency (%)
C	191880	28.3%
D	151595	22.4%
E	137167	20.2%
A	103957	15.3%
B	75459	11.1%
F	17954	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	678012	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	191880	28.3%
D	151595	22.4%
E	137167	20.2%
A	103957	15.3%
B	75459	11.1%
F	17954	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	678012	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	191880	28.3%
D	151595	22.4%
E	137167	20.2%
A	103957	15.3%
B	75459	11.1%
F	17954	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	678012	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	191880	28.3%
D	151595	22.4%
E	137167	20.2%
A	103957	15.3%
B	75459	11.1%
F	17954	2.6%

Density
Real number (ℝ)

High correlation

Distinct	1607
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1792.4223

Minimum	1
Maximum	27000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	1
5-th percentile	20
Q1	92
median	393
Q3	1658
95-th percentile	7313
Maximum	27000
Range	26999
Interquartile range (IQR)	1566

Descriptive statistics

Standard deviation	3958.6495
Coefficient of variation (CV)	2.2085473
Kurtosis	24.86941
Mean	1792.4223
Median Absolute Deviation (MAD)	355
Skewness	4.6514178
Sum	1.2152838 × 10⁹
Variance	15670906
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27000	10515	1.6%
3317	9891	1.5%
1313	7157	1.1%
9307	5986	0.9%
3744	5540	0.8%
1326	5447	0.8%
405	5195	0.8%
4128	5055	0.7%
4762	4985	0.7%
57	4262	0.6%
Other values (1597)	613979	90.6%

Value	Count	Frequency (%)
1	7	< 0.1%
2	92	< 0.1%
3	304	< 0.1%
4	274	< 0.1%
5	438	0.1%
6	752	0.1%
7	1088	0.2%
8	1131	0.2%
9	1813	0.3%
10	2911	0.4%

Value	Count	Frequency (%)
27000	10515	1.6%
23396	66	< 0.1%
22821	182	< 0.1%
22669	463	0.1%
21410	76	< 0.1%
20000	6	< 0.1%
18229	200	< 0.1%
17140	910	0.1%
16533	613	0.1%
16291	175	< 0.1%

Region
Categorical

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

Centre	160601
Rhone-Alpes	84751
Provence-Alpes-Cotes-D'Azur	79315
Ile-de-France	69791
Bretagne	42122
Other values (16)	241432

Length

Max length	27
Median length	17
Mean length	12.962977
Min length	5

Characters and Unicode

Total characters	8789054
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Centre
2nd row	Pays-de-la-Loire
3rd row	Provence-Alpes-Cotes-D'Azur
4th row	Pays-de-la-Loire
5th row	Provence-Alpes-Cotes-D'Azur

Common Values

Value	Count	Frequency (%)
Centre	160601	23.7%
Rhone-Alpes	84751	12.5%
Provence-Alpes-Cotes-D'Azur	79315	11.7%
Ile-de-France	69791	10.3%
Bretagne	42122	6.2%
Nord-Pas-de-Calais	40275	5.9%
Pays-de-la-Loire	38751	5.7%
Languedoc-Roussillon	35805	5.3%
Aquitaine	31329	4.6%
Poitou-Charentes	19046	2.8%
Other values (11)	76226	11.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
centre	160601	23.7%
rhone-alpes	84751	12.5%
provence-alpes-cotes-d'azur	79315	11.7%
ile-de-france	69791	10.3%
bretagne	42122	6.2%
nord-pas-de-calais	40275	5.9%
pays-de-la-loire	38751	5.7%
languedoc-roussillon	35805	5.3%
aquitaine	31329	4.6%
poitou-charentes	19046	2.8%
Other values (11)	76226	11.2%

Most occurring characters

Value	Count	Frequency (%)
e	1462867	16.6%
-	795377	9.0%
n	626133	7.1%
r	598675	6.8%
o	518984	5.9%
s	503548	5.7%
a	453346	5.2%
l	386693	4.4%
t	361569	4.1%
C	308105	3.5%
Other values (24)	2773757	31.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8789054	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1462867	16.6%
-	795377	9.0%
n	626133	7.1%
r	598675	6.8%
o	518984	5.9%
s	503548	5.7%
a	453346	5.2%
l	386693	4.4%
t	361569	4.1%
C	308105	3.5%
Other values (24)	2773757	31.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8789054	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1462867	16.6%
-	795377	9.0%
n	626133	7.1%
r	598675	6.8%
o	518984	5.9%
s	503548	5.7%
a	453346	5.2%
l	386693	4.4%
t	361569	4.1%
C	308105	3.5%
Other values (24)	2773757	31.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8789054	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1462867	16.6%
-	795377	9.0%
n	626133	7.1%
r	598675	6.8%
o	518984	5.9%
s	503548	5.7%
a	453346	5.2%
l	386693	4.4%
t	361569	4.1%
C	308105	3.5%
Other values (24)	2773757	31.6%

Group
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.2 MiB

1	136195
5	135569
4	135554
2	135378
3	135316

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	678012
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	1
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
1	136195	20.1%
5	135569	20.0%
4	135554	20.0%
2	135378	20.0%
3	135316	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	136195	20.1%
5	135569	20.0%
4	135554	20.0%
2	135378	20.0%
3	135316	20.0%

Most occurring characters

Value	Count	Frequency (%)
1	136195	20.1%
5	135569	20.0%
4	135554	20.0%
2	135378	20.0%
3	135316	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	678012	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	136195	20.1%
5	135569	20.0%
4	135554	20.0%
2	135378	20.0%
3	135316	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	678012	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	136195	20.1%
5	135569	20.0%
4	135554	20.0%
2	135378	20.0%
3	135316	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	678012	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	136195	20.1%
5	135569	20.0%
4	135554	20.0%
2	135378	20.0%
3	135316	20.0%

Exposure
Real number (ℝ)

Distinct	181
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.52874953

Minimum	0.00273224
Maximum	2.01
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.2 MiB

Quantile statistics

Minimum	0.00273224
5-th percentile	0.04
Q1	0.18
median	0.49
Q3	0.99
95-th percentile	1
Maximum	2.01
Range	2.0072678
Interquartile range (IQR)	0.81

Descriptive statistics

Standard deviation	0.36444151
Coefficient of variation (CV)	0.68925169
Kurtosis	-1.5242423
Mean	0.52874953
Median Absolute Deviation (MAD)	0.37
Skewness	0.08532088
Sum	358498.53
Variance	0.13281761
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	168125	24.8%
0.08	44670	6.6%
0.07	12969	1.9%
0.24	12950	1.9%
0.5	12497	1.8%
0.49	12298	1.8%
0.03	11996	1.8%
0.04	11131	1.6%
0.12	11047	1.6%
0.2	8727	1.3%
Other values (171)	371602	54.8%

Value	Count	Frequency (%)
0.00273224	1060	0.2%
0.002739726	2045	0.3%
0.005464481	609	0.1%
0.005479452	1396	0.2%
0.008196721	620	0.1%
0.008219178	1147	0.2%
0.01	6726	1.0%
0.02	5656	0.8%
0.03	11996	1.8%
0.04	11131	1.6%

Value	Count	Frequency (%)
2.01	2	< 0.1%
2	1	< 0.1%
1.99	1	< 0.1%
1.98	1	< 0.1%
1.93	1	< 0.1%
1.92	1	< 0.1%
1.9	2	< 0.1%
1.88	1	< 0.1%
1.85	2	< 0.1%
1.82	1	< 0.1%

ClaimCount
Real number (ℝ)

Zeros

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.052447449

Minimum	0
Maximum	16
Zeros	643952
Zeros (%)	95.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	16
Range	16
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.23480476
Coefficient of variation (CV)	4.476953
Kurtosis	73.267147
Mean	0.052447449
Median Absolute Deviation (MAD)	0
Skewness	5.4175084
Sum	35560
Variance	0.055133278
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	643952	95.0%
1	32687	4.8%
2	1298	0.2%
3	62	< 0.1%
4	5	< 0.1%
11	2	< 0.1%
5	2	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
16	1	< 0.1%

Value	Count	Frequency (%)
0	643952	95.0%
1	32687	4.8%
2	1298	0.2%
3	62	< 0.1%
4	5	< 0.1%
5	2	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
11	2	< 0.1%
9	1	< 0.1%
8	1	< 0.1%
6	1	< 0.1%
5	2	< 0.1%
4	5	< 0.1%
3	62	< 0.1%
2	1298	0.2%
1	32687	4.8%

	Area	BonusMalus	ClaimCount	Density	DrivAge	Exposure	Group	IDpol	Region	VehAge	VehBrand	VehGas	VehPower
Area	1.000	0.051	0.006	0.589	0.029	0.058	0.000	0.056	0.318	0.040	0.073	0.131	0.038
BonusMalus	0.051	1.000	0.038	0.139	-0.571	-0.196	0.000	-0.011	0.029	0.082	0.021	0.048	-0.068
ClaimCount	0.006	0.038	1.000	0.013	0.012	0.071	0.000	-0.141	0.005	-0.022	0.000	0.002	-0.003
Density	0.589	0.139	0.013	1.000	-0.044	-0.123	0.001	0.062	0.235	-0.102	0.049	0.102	-0.012
DrivAge	0.029	-0.571	0.012	-0.044	1.000	0.164	0.000	0.058	0.041	-0.078	0.051	0.119	0.040
Exposure	0.058	-0.196	0.071	-0.123	0.164	1.000	0.000	-0.157	0.091	0.184	0.091	0.040	-0.036
Group	0.000	0.000	0.000	0.001	0.000	0.000	1.000	0.000	0.001	0.002	0.000	0.000	0.000
IDpol	0.056	-0.011	-0.141	0.062	0.058	-0.157	0.000	1.000	0.138	-0.120	0.230	0.050	0.032
Region	0.318	0.029	0.005	0.235	0.041	0.091	0.001	0.138	1.000	0.066	0.130	0.087	0.045
VehAge	0.040	0.082	-0.022	-0.102	-0.078	0.184	0.002	-0.120	0.066	1.000	0.110	0.127	-0.002
VehBrand	0.073	0.021	0.000	0.049	0.051	0.091	0.000	0.230	0.130	0.110	1.000	0.116	0.154
VehGas	0.131	0.048	0.002	0.102	0.119	0.040	0.000	0.050	0.087	0.127	0.116	1.000	0.280
VehPower	0.038	-0.068	-0.003	-0.012	0.040	-0.036	0.000	0.032	0.045	-0.002	0.154	0.280	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	IDpol	VehPower	VehAge	DrivAge	BonusMalus	VehBrand	VehGas	Area	Density	Region	Group	Exposure
0	2124053	5.0	1.0	31.0	60.0	B2	Diesel	C	393.0	Centre	2	0.53
1	1049168	4.0	2.0	73.0	50.0	B12	Regular	D	983.0	Pays-de-la-Loire	3	0.10
2	134313	4.0	11.0	60.0	62.0	B1	Regular	E	3744.0	Provence-Alpes-Cotes-D'Azur	1	1.00
3	1145209	7.0	9.0	37.0	50.0	B12	Regular	C	204.0	Pays-de-la-Loire	1	0.06
4	2281532	5.0	4.0	43.0	54.0	B1	Diesel	E	3317.0	Provence-Alpes-Cotes-D'Azur	3	0.50
5	4122208	7.0	15.0	74.0	50.0	B1	Regular	A	45.0	Centre	1	1.00
6	4128877	4.0	8.0	28.0	76.0	B2	Regular	E	3688.0	Rhone-Alpes	4	0.50
7	2102858	7.0	14.0	20.0	100.0	B1	Regular	D	1329.0	Ile-de-France	5	0.14
8	1106637	6.0	0.0	53.0	58.0	B1	Diesel	C	433.0	Provence-Alpes-Cotes-D'Azur	4	0.78
9	3166307	5.0	17.0	40.0	83.0	B2	Regular	A	10.0	Auvergne	2	0.43

	IDpol	VehPower	VehAge	DrivAge	BonusMalus	VehBrand	VehGas	Area	Density	Region	Group	Exposure
678002	4120049	6.0	6.0	70.0	64.0	B2	Diesel	C	229.0	Bretagne	3	1.00
678003	2107318	7.0	2.0	24.0	95.0	B13	Regular	C	226.0	Centre	4	0.04
678004	4020583	8.0	8.0	27.0	85.0	B12	Regular	F	17140.0	Ile-de-France	2	0.12
678005	1034643	5.0	11.0	58.0	80.0	B2	Regular	C	280.0	Centre	5	1.00
678006	5036862	7.0	5.0	50.0	50.0	B2	Diesel	C	267.0	Ile-de-France	3	0.72
678007	4134506	6.0	4.0	61.0	50.0	B2	Diesel	C	220.0	Rhone-Alpes	4	1.00
678008	1037983	8.0	11.0	36.0	72.0	B10	Diesel	C	282.0	Centre	3	0.04
678009	3197389	7.0	11.0	50.0	50.0	B2	Diesel	A	9.0	Centre	4	1.00
678010	25934	7.0	20.0	34.0	52.0	B1	Diesel	C	176.0	Provence-Alpes-Cotes-D'Azur	5	1.00
678011	72150	7.0	13.0	33.0	50.0	B2	Regular	C	115.0	Pays-de-la-Loire	4	1.00

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample